AI Solutions Architect Jobs

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The Senior Forward-Deployed Engineer, Federal at Deepgram is responsible for owning technical delivery across federal deployments from initial prototype to stable production. They embed deeply with federal customers to design and build mission-critical applications using Deepgram's Voice AI models, lead technical discovery and solution design for federal prospects and customers, and prototype and build full-stack integrations with technologies such as Python, JavaScript, or Rust. They enable successful deployments by delivering observable systems spanning infrastructure through applications and proactively guide federal stakeholders on platform operational value, including performance optimization and deployment strategies. Responsibilities include scoping work, sequencing delivery, removing blockers, managing relationships with customer leadership and technical stakeholders, contributing to code when necessary, codifying working patterns into reusable tools and playbooks, sharing field feedback with Product and Engineering, serving as an escalation point for technical issues, and analyzing deployment patterns to inform product and go-to-market strategies. The role involves significant collaboration internally and externally, including technical engagements pre-sales, building reusable solutions, and contributing to Applied Engineering strategy.

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As a Solutions Engineer at Encord, you will be the core technical expert for customers building autonomous vehicles, robotics, and physical AI solutions, specializing in LiDAR data, sensor fusion, and perception. Your responsibilities include leading technical discovery with perception teams to understand their sensor stacks, model development pipelines, and data challenges; architecting complete solutions for complex multimodal datasets including LiDAR, camera, and radar fusion, and sensor calibration; acting as the technical authority on handling 3D point clouds, sensor fusion, temporal sequences, and multimodal annotation; building bespoke proofs of concept for LiDAR data ingestion, point cloud processing, coordinate transformations, and sensor calibration; developing custom integrations with robotics/AV stacks such as MCAP, ROS, Apollo, and Autoware; creating technical demos for LiDAR annotation, 3D bounding boxes, semantic segmentation, and multi-sensor fusion; debugging complex issues involving point cloud rendering, sensor calibration matrices, and multimodal data synchronization; guiding prospects through technical evaluations of LiDAR formats, sensor configurations, and annotation requirements; providing expert consultation on 3D annotation best practices, coordinate conventions, and quality control workflows; partnering with Account Executives to co-own technical wins in enterprise sales cycles; translating technical capabilities into business value for CTOs and senior stakeholders; and channeling customer feedback to Product and Engineering teams to shape the product roadmap.

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The AI Platform Architect is responsible for designing, scoping, and implementing complex healthcare AI workflows on the Notable platform, working at the intersection of healthcare operations, AI workflow design, data architecture, enterprise integration/implementation, data orchestration, and change management. They partner closely with clients and internal teams to translate operational challenges into scalable AI-driven solutions, designing and architecting end-to-end AI flows leveraging multiple healthcare data models while ensuring workflows are secure, reliable, scalable, and aligned with clinical and administrative processes. Responsibilities include flow discovery, design, and architecture; gathering customer requirements; validating scope with focus on speed-to-value; building and configuring flows in Flow Builder; partnering with integrations to build required connections; conducting internal and external testing; training customers on platform usage; and facilitating change management. They define and standardize workflow patterns balancing automation, accuracy, safety, and compliance, recommend flow design choices based on organizational patterns, and socialize designs with key stakeholders. Additionally, they architect solutions leveraging healthcare data models such as HL7, EHR-native objects, API-based and event-driven integrations, and design workflows across structured, semi-structured, and unstructured data. They collaborate with integration specialists and customer IT to validate data flows, manage technical scoping sessions defining workflow scope, integration requirements, data ownership, and success metrics, independently implement flows via Flow Builder with proper scope management and stakeholder alignment, run project meetings, execute rigorous testing, and ensure production readiness and performance. They also escalate risks, provide technical authority for implementations, facilitate transition to steady-state ownership, and provide structured feedback to shape platform evolution, reusable templates, and reference architectures.

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Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

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Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

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As a System Architect, you will own the end-to-end architecture, system definition, and strategic implementation for the entire portfolio of robotic systems, collaborating closely with executive leadership, technical leads, and the Product Manager to ensure efficiency. Responsibilities include translating complex strategic goals into global system-of-systems designs and defining the overall system architecture strategy across the enterprise. You will ensure all systems meet defined needs through verification of scope, complex simulations, and precise system sizing to guide major technical investments. Coordination and technical leadership involve managing large multidisciplinary engineering organizations and providing overarching technical leadership across cross-functional design efforts to ensure long-term performance, robustness, and strategic reliability. Additionally, you will govern system integration standards and validation processes, manage specification by ensuring architectural prerequisites are met, and drive multi-system architecture reviews for enterprise design consistency. You will also implement and institutionalize processes to enhance requirements traceability, system documentation standards, and validation workflows across the engineering organization.

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Design and develop AI applications primarily in Python. Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters. Lead discovery sessions, guide pilot projects, and ensure successful deployments, collaborating mostly remotely with occasional on-site workshops. Monitor system performance and reliability, add to logging, billing, and auth services, and build internal tooling to automate repetitive tasks. Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.

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Drive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered work. Architect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problems. Lead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customers. Serve as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmaps. Partner closely with WRITER's product and engineering teams, providing critical feedback from customer engagements to influence the product roadmap and ensure solutions meet evolving market needs. Champion the adoption of WRITER's platform and APIs, educating prospects and partners on the potential of generative AI and empowering them to build their own innovative solutions.

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As an AI Deployment Engineer, you will serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI solutions. You will engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap. Your role includes accelerating customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. You will maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Additionally, you will contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers, share learnings and collaborate with internal teams to inform product development and improve customer outcomes, and codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

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The Deployment Architect will work as part of an embedded team on site with clients to transform health systems by understanding customer workflows, analyzing and documenting operational workflows, translating these into integration specifications and AI conversation designs. They will define, document, and drive the technical architecture to connect Hippocratic AI solutions with client EHR systems, CRMs, population health tools, and other platforms. The architect will design, customize, and deploy scalable AI agents according to customer needs, lead the technical post-sale implementation process as the primary technical contact, collaborate cross-functionally with engineering, product, machine learning, clinical, and sales teams to develop solutions, and develop reusable tooling, playbooks, and frameworks for improved implementation scalability and efficiency. The role requires physical presence at client sites weekly and may include travel to HippocraticAI offices for strategic planning and team sessions.